Recent content by hosseinGhafari

Y is the label in this classification problem. it is +1 or -1. in fact in this problem, we are going to find a hyperplane which discriminates samples with plus or minus label. P(y|w,x) is the probability of label y=1 or -1 given w and x.

Hi Stephen, here is the required information about the problem. The data x_i is an n-dimensional vector. we have a set of {x_i},i=1,2,...,n. y = <w,x>. By, <w,x> i mean w^T.x .i.e inner product of the w and x. we want to find w as an n-dimensional vector such that the above mentioned cost...

Here is the full problem: i have a linear regression, <w,x> with cost function \sigma(y_i,<w,x_i>)^2+\lambda*norm(w)^2. i need to compute the p((y,x)|w). i know that sometimes it is good to assume a logistic regression distribution, but if we cannot make such an assumption, is there any way to...

I have a cost function which consists of sum of a set of quadratic loss plus a term which regularize function. my problem is: is there any way to infer probability from such a cost functions?